Projects

ML@SJSU (Official SJSU ML Club)                                                                                                                                                                                                 

Feb 2023- Present

• Leading a team of 5 to address a challenging, real-world issue in the Natural Language Processing (NLP) field, fostering collaboration and driving innovation.

WeatherWiseAI-Weather Prediction using ExplainableAI                                                                                                                                                                 

Dec 2022 – Feb 2023

• Developed weather prediction models with explainable AI, comparing ensembles and neural networks, using SHAP and LIME to demystify black box nature.

• Implemented transfer learning for additional dataset and created a Streamlit frontend to showcase results.

Agenda summarization from speeches by politicians, SJSU                                                                                                                                     

 Aug 2022 - Dec2022

• Scraped 113 web pages using Beautiful Soup, Scrapy, and Selenium; compiled speeches with SpaCy and Gensim.

• Analyzed sentiment with VADER and determined dominant topics for 28 speakers using LDA, generating relevancy scores.

FaceMorpher: Deep Learning-Driven Face Swapping                                                                                                                                                            

Dec 2022 – Dec 2022

• Implemented face-swapping with deep learning, utilizing Dlib and OpenCV for facial landmark detection and triangulation.

• Leveraged affine transformations and seamless cloning for a realistic and smooth face-swapping outcome.

CardioGuardian: AutoML Heart Risk Predictor                                                                                                                                                             

Sep 2022 - Oct 2022

• Comparing various machine learning architectures with AutoML search to find the best predictor.

Plant Disease Detection App using Streamlit                                                                                                                                                                        

Aug 2022 -Sep2022

• Created a plant disease identification system (Streamlit app) using a convolutional neural network, optimizing its performance through experimentation with different layers and hyperparameters.

Black Friday Sales Prediction                                                                                                                                                                                                                                   

Jun 2021 - Jun 2021

• Performed data preprocessing with log transformation and optimized accuracy of regression model.

• Utilized Random Forest Regressor to predict purchase based on productId and userId, achieving high accuracy .